Shenshen Gu

35 papers B 1C 4Journal 15Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
FPGA-Accelerated Real-Time Tennis Serving Robot With DSP-Efficient Convolutional Neural Network.
Concurr. Comput. Pract. Exp.
Tengfei Li, Shenshen Gu, Yulong Ren
2026 J jnl
Towards Generalizable Meta-Deep Reinforcement Learning Algorithm for Multiobjective Traveling Salesman Problems.
IEEE Trans. Artif. Intell.
Xiaoyu Fu, Shenshen Gu, Chee-Meng Chew, Tengfei Li
2025 J jnl
Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks.
Neural Networks
Xiaoyu Fu, Shenshen Gu, Chee-Meng Chew
2024 J jnl
A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation.
Neural Networks
Shijie Zhao, Shenshen Gu
2024 J jnl
A neural network algorithm framework based on graph structure for general combinatorial optimization.
Neurocomputing
Shijie Zhao, Shenshen Gu
2024 C conf
An Improved YOLOv8 Target Detection Algorithm and Its Application in Tennis Ball Picking Robot.
ISNN
Ruining Lei, Yikai Wu, Yulong Ren, Shenshen Gu
2024 J jnl
Deep Reinforcement Learning Algorithm Based on Graph Weight Multi-Pointer Network for Solving Multiobjective Traveling Salesman Problem.
IEEE Access
Xiaoyu Fu, Shenshen Gu
2023 J jnl
FPGA Hardware Implementation of Efficient Long Short-Term Memory Network Based on Construction Vector Method.
IEEE Access
Tengfei Li, Shenshen Gu
2023 J jnl
Method for solving constrained 0-1 quadratic programming problems based on pointer network and reinforcement learning.
Neural Comput. Appl.
Shenshen Gu, Yuxi Zhuang
2021 J jnl
Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation.
Neural Process. Lett.
Shenshen Gu, Xinyi Chen, Lin Wang
2021 J jnl
Pointer Network Based Deep Learning Algorithm for the Maximum Clique Problem.
Int. J. Artif. Intell. Tools
Shenshen Gu, Hanmei Yao
2021 J jnl
Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks.
Cybern. Syst.
Sitian Qin, Shenshen Gu, Nian Zhang
2020 J jnl
A pointer network based deep learning algorithm for unconstrained binary quadratic programming problem.
Neurocomputing
Shenshen Gu, Tao Hao, Hanmei Yao
2020 — conf
Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images.
EMBC
Xiaoqian Mao, Yitian Zhao, Bang Chen, Yuhui Ma, Zaiwang Gu, Shenshen Gu, Jianlong Yang, Jun Cheng, Jiang Liu
2020 — conf
The Basic Algorithm for Zero-One Unconstrained Quadratic Programming Problem with k-diagonal Matrix.
ICACI
Shenshen Gu, Xinyi Chen
2019 — conf
Neurodynamics-Based Receding Horizon Control of an HVAC System.
ISNN (2)
Jiasen Wang, Jun Wang, Shenshen Gu
2018 — conf
A Deep Learning Tennis Ball Collection Robot and the Implementation on NVIDIA Jetson TX1 Board.
AIM
Shenshen Gu, Xinyi Chen, Wei Zeng, Xin Wang
2018 — conf
A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem.
ICONIP (2)
Shenshen Gu, Xinyi Chen
2018 — conf
A Pointer Network Based Deep Learning Algorithm for the Max-Cut Problem.
ICONIP (1)
Shenshen Gu, Yue Yang
2018 — conf
A pointer network based deep learning algorithm for 0-1 Knapsack Problem.
ICACI
Shenshen Gu, Tao Hao
2018 C conf
The Implementation of a Pointer Network Model for Traveling Salesman Problem on a Xilinx PYNQ Board.
ISNN
Shenshen Gu, Tao Hao, Shaofu Yang
2017 C conf
A new deep learning method based on AlexNet model and SSD model for tennis ball recognition.
IWCIA
Shenshen Gu, Lu Ding, Yue Yang, Xinyi Chen
2017 — conf
FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network.
ISNN (1)
Shenshen Gu, Xiaowen Wang
2017 — conf
FPGA Implementation of the Projection Based Recurrent Neural Network Approach to Compute the Distance Between a Point and an Ellipsoid.
ICONIP (6)
Shenshen Gu, Xiaowen Wang
2016 — conf
FPGA implementation of K-Winners-Take-All neural network based on linear programming formulation.
ICACI
Shenshen Gu, Jiarui Zhang
2016 J jnl
Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems.
Neurocomputing
Shenshen Gu, Rui Cui, Jiao Peng
2015 — conf
A neural network based algorithm to compute the distance between a point and an ellipsoid.
ICACI
Shenshen Gu, Jiao Peng
2015 J jnl
An efficient algorithm for the subset sum problem based on finite-time convergent recurrent neural network.
Neurocomputing
Shenshen Gu, Rui Cui
2014 C conf
A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q Being a Seven-Diagonal Matrix and Its Neural Network Implementation.
ISNN
Shenshen Gu, Jiao Peng, Rui Cui
2013 — conf
A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem.
ISNN (1)
Shenshen Gu
2011 J jnl
Reachability determination in acyclic Petri nets by cell enumeration approach.
Autom.
Duan Li, Xiaoling Sun, Jianjun Gao, Shenshen Gu, Xiaojin Zheng
2010 — conf
Polynomial time solvable algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix.
WCSP
Shenshen Gu
2007 B conf
A K-Winners-Take-All Neural Network Based on Linear Programming Formulation.
IJCNN
Shenshen Gu, Jun Wang
2005 — conf
An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem.
ISNN (1)
Shenshen Gu
2004 — conf
A Chaotic Neural Network for the Maximum Clique Problem.
Canadian AI
Shenshen Gu, Songnian Yu